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» Approximate Clustering on Distributed Data Streams
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CIDR
2003
138views Algorithms» more  CIDR 2003»
13 years 9 months ago
AIMS: An Immersidata Management System
We introduce a system to address the challenges involved in managing the multidimensional sensor data streams generated within immersive environments. We call this data type, imme...
Cyrus Shahabi
IPMI
2009
Springer
14 years 2 months ago
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics
In this paper, we present a manifold clustering method for the classification of fibers obtained from diffusion tensor images (DTI) of the human skeletal muscle. Using a linear ...
Radhouène Neji, Ahmed Besbes, Nikos Komodak...
ICIP
2002
IEEE
14 years 9 months ago
Effects of channel delays on underflow events of compressed video over the Internet
This paper presents an extensive statistical study and analysis of the effects of channel delays in the current (best-effort) Internet on underflow events in MPEG-4 video streamin...
Dmitri Loguinov, Hayder Radha
CORR
2002
Springer
113views Education» more  CORR 2002»
13 years 7 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
PVLDB
2008
116views more  PVLDB 2008»
13 years 7 months ago
Tighter estimation using bottom k sketches
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
Edith Cohen, Haim Kaplan